DC citywide lottery ranked-preference dataset from over 20,000 applicants to more than 100 schools¶
Product or Programme · All products and programmes
Evidence · 1 claim (1 for) · 1 study (1 associational),q2· 0 of 1 report an effect size · 1 claim rests on one study
Description¶
A dataset of ranked school-preference lists submitted by more than 20,000 families to Washington, DC's citywide lottery for over 100 traditional and charter public schools, collected for the associated 2013–2015 Walton Family Foundation project.
Components¶
Claims¶
Related Products and Programmes¶
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Key Sources¶
- Steven Glazerman, Dallas Dotter. (2016). Market Signals: How Do DC Parents Rank Schools, and What Does It Mean for Policy? Washington, DC: Mathematica Policy Research. https://www.mathematica.org/publications/market-signals-how-do-dc-parents-rank-schools-and-what-does-it-mean-for-policy
Page metadata
| Field | Value |
|---|---|
type |
product |
id |
dc-citywide-lottery-ranked-preference-dataset-from-over-20000-applicants-to-more-than-100 |
title |
DC citywide lottery ranked-preference dataset from over 20,000 applicants to more than 100 schools |
description |
A dataset of ranked school-preference lists submitted by more than 20,000 families to Washington, DC's citywide lottery for over 100 traditional and charter public schools, collected for the associated 2013–2015 Walton Family Foundation project. |
status |
review |
moved_from |
element/dc-lottery-ranked-preference-dataset |
product_kind |
dataset |
generated |
by process:sweep-kinds on 2026-10-10 |
trust |
unverified — no one has confirmed this page's content |
sources |
1 — steven-glazerman-2016 |
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